The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "12498467 (up from 12268518 yesterday: 1.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "560209 (up from 554924 yesterday: 0.95 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3833481

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.48



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3184573 66627 2.14 961761 134092 802 0.60 4.21
Brazil 1800827 45048 2.57 767914 70398 1214 1.75 3.91
India 820916 27114 3.42 425868 22123 519 2.40 2.69
Russia 712863 6623 0.94 144571 11000 174 1.61 1.54
Peru 319646 3198 1.01 75258 11500 186 1.64 3.60
Chile 309274 3058 1.00 77881 6781 99 1.48 2.19
United Kingdom 289678 524 0.18 -13607 44735 48 0.11 15.44
Mexico 289174 6891 2.44 118689 34191 665 1.98 11.82
Spain 253908 852 0.34 8333 28403 2 0.01 11.19
Iran 252720 2262 0.90 52458 12447 142 1.15 4.93
South Africa 250687 12348 5.18 162972 3860 140 3.76 1.54
Pakistan 246351 2752 1.13 74685 5123 65 1.29 2.08
Italy 242639 276 0.11 4628 34938 12 0.03 14.40
Saudi Arabia 226486 3159 1.41 76194 2151 51 2.43 0.95
Turkey 210965 1003 0.48 25720 5323 23 0.43 2.52
France 208015 659 0.32 11932 30007 25 0.08 14.43
Germany 199332 331 0.17 9033 9063 6 0.07 4.55
Bangladesh 178443 2949 1.68 72908 2275 37 1.65 1.27
Colombia 133973 5335 4.15 73586 4985 194 4.05 3.72
Canada 108984 328 0.30 6670 8811 14 0.16 8.08
Qatar 102630 520 0.51 17168 146 4 2.82 0.14
Argentina 94060 3367 3.71 54490 1774 54 3.14 1.89
China 84992 0 0.00 498 4641 0 0.00 5.46
Egypt 80235 981 1.24 28024 3702 85 2.35 4.61
Sweden 74898 565 0.76 18855 5526 26 0.47 7.38
Iraq 72460 2848 4.09 45108 2960 78 2.71 4.09
Indonesia 72347 1611 2.28 28544 3469 52 1.52 4.79
Ecuador 65018 797 1.24 15287 4939 39 0.80 7.60
Belarus 64604 193 0.30 7271 454 5 1.11 0.70
Belgium 62357 147 0.24 1881 9781 3 0.03 15.69
Kazakhstan 56455 1708 3.12 39676 264 0 0.00 0.47
United Arab Emirates 54050 473 0.88 9905 330 2 0.61 0.61
Oman 53614 1889 3.65 25944 244 8 3.39 0.46
Kuwait 53580 740 1.40 14902 383 1 0.26 0.71
Ukraine 53116 831 1.59 17361 1362 18 1.34 2.56
Philippines 52914 1160 2.24 24455 1360 46 3.50 2.57
Netherlands 51055 42 0.08 1421 6155 -1 -0.02 12.06
Portugal 45679 402 0.89 7215 1646 2 0.12 3.60
Singapore 45614 191 0.42 3999 26 0 0.00 0.06
Bolivia 45565 1452 3.29 23089 1702 64 3.91 3.74
Panama 43257 1041 2.47 18983 863 24 2.86 2.00
Dominican Republic 41915 1125 2.76 16847 864 22 2.61 2.06
Poland 37216 265 0.72 5900 1562 11 0.71 4.20
Israel 36266 1441 4.14 15927 351 3 0.86 0.97
Afghanistan 34194 286 0.84 6316 971 14 1.46 2.84
Switzerland 32690 104 0.32 1455 1966 0 0.00 6.01
Bahrain 32039 511 1.62 11123 104 1 0.97 0.32
Romania 31381 592 1.92 7981 1847 13 0.71 5.89
Nigeria 31323 575 1.87 12176 709 20 2.90 2.26
Armenia 30903 557 1.84 11746 546 11 2.06 1.77
Guatemala 27619 961 3.60 15110 1139 47 4.30 4.12
Honduras 27053 669 2.54 15795 750 46 6.53 2.77
Ireland 25589 24 0.09 221 1744 1 0.06 6.82
Ghana 23834 371 1.58 10631 135 6 4.65 0.57
Azerbaijan 22990 526 2.34 11223 292 8 2.82 1.27
Japan 21044 427 2.07 3386 982 0 0.00 4.67
Moldova 18924 258 1.38 5368 635 11 1.76 3.36
Austria 18709 94 0.50 1438 706 0 0.00 3.77
Algeria 18242 434 2.44 6738 996 8 0.81 5.46
Serbia 17728 386 2.23 5019 370 18 5.11 2.09
Nepal 16649 118 0.71 8375 35 0 0.00 0.21
Morocco 15328 249 1.65 5715 243 1 0.41 1.59
Cameroon 14916 0 0.00 4278 359 0 0.00 2.41
Korea, South 13373 35 0.26 1000 288 0 0.00 2.15
Denmark 13147 30 0.23 556 609 0 0.00 4.63
Czechia 13001 82 0.63 2595 352 0 0.00 2.71
Cote d’Ivoire 12052 302 2.57 5178 81 2 2.53 0.67
Uzbekistan 12027 463 4.00 6081 54 3 5.88 0.45
Sudan 10204 46 0.45 1888 649 8 1.25 6.36

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 400299 786 0.20 13743 32331 48 0.15 8.08 20577.16 1661.96 1 in 49
California 310885 8401 2.78 140023 6955 96 1.40 2.24 7868.07 176.02 1 in 127
Texas 244756 8215 3.47 139362 3062 56 1.86 1.25 8441.06 105.60 1 in 118
Florida 244151 11433 4.91 154403 4102 93 2.32 1.68 11367.63 190.99 1 in 88
New Jersey 174628 358 0.21 6132 15479 31 0.20 8.86 19660.47 1742.70 1 in 51
Illinois 152899 1327 0.88 17429 7345 16 0.22 4.80 12066.06 579.63 1 in 83
Arizona 116892 4221 3.75 69982 2082 44 2.16 1.78 15350.45 273.41 1 in 65
Georgia 111217 4490 4.21 49208 2965 35 1.19 2.67 10474.95 279.26 1 in 95
Massachusetts 111110 213 0.19 4460 8296 28 0.34 7.47 15988.19 1193.75 1 in 63
Pennsylvania 98482 940 0.96 13283 6880 32 0.47 6.99 7692.71 537.42 1 in 130
North Carolina 82032 2376 2.98 32014 1497 20 1.35 1.82 7821.45 142.73 1 in 128
Michigan 75685 622 0.83 8588 6285 14 0.22 8.30 7578.46 629.33 1 in 132
Louisiana 74636 2642 3.67 26121 3380 25 0.75 4.53 16054.92 727.07 1 in 62
Maryland 71910 463 0.65 8362 3303 15 0.46 4.59 11894.44 546.34 1 in 84
Virginia 68931 943 1.39 12138 1958 21 1.08 2.84 8075.78 229.39 1 in 124
Ohio 62856 1525 2.49 19125 3032 26 0.86 4.82 5377.32 259.39 1 in 186
Tennessee 59546 1955 3.39 25529 723 13 1.83 1.21 8714.25 105.81 1 in 115
South Carolina 52419 1728 3.41 29811 929 24 2.65 1.77 10180.99 180.43 1 in 98
Alabama 50508 1334 2.71 21506 1104 36 3.37 2.19 10301.06 225.16 1 in 97
Indiana 50300 725 1.46 8554 2748 9 0.33 5.46 7471.53 408.19 1 in 134
Connecticut 47287 78 0.17 1730 4348 0 0.00 9.19 13263.17 1219.54 1 in 75
Minnesota 40767 604 1.50 8736 1533 5 0.33 3.76 7228.66 271.83 1 in 138
Washington 39218 637 1.65 11617 1424 15 1.06 3.63 5150.17 187.00 1 in 194
Colorado 36173 666 1.88 6001 1724 18 1.06 4.77 6281.41 299.37 1 in 159
Wisconsin 34753 845 2.49 10599 814 5 0.62 2.34 5968.81 139.80 1 in 168
Mississippi 34622 1031 3.07 13981 1215 11 0.91 3.51 11633.15 408.25 1 in 86
Iowa 34172 918 2.76 8898 743 2 0.27 2.17 10830.82 235.49 1 in 92
Utah 28223 867 3.17 11798 207 2 0.98 0.73 8803.30 64.57 1 in 114
Missouri 27069 659 2.50 9402 1084 11 1.03 4.00 4410.48 176.62 1 in 227
Arkansas 26803 751 2.88 12172 313 4 1.29 1.17 8881.56 103.72 1 in 113
Nevada 25908 1004 4.03 13384 579 8 1.40 2.23 8411.26 187.98 1 in 119
Nebraska 20777 154 0.75 3189 286 2 0.70 1.38 10740.75 147.85 1 in 93
Oklahoma 19092 595 3.22 9385 416 6 1.46 2.18 4824.90 105.13 1 in 207
Kentucky 18672 427 2.34 5218 620 8 1.31 3.32 4179.36 138.77 1 in 239
Kansas 18303 518 2.91 6282 293 0 0.00 1.60 6282.54 100.57 1 in 159
Rhode Island 17312 69 0.40 975 976 2 0.21 5.64 16341.93 921.31 1 in 61
New Mexico 14549 298 2.09 4289 539 6 1.13 3.70 6938.57 257.05 1 in 144
Delaware 12652 121 0.97 2041 517 0 0.00 4.09 12992.88 530.93 1 in 77
Oregon 11454 266 2.38 4882 232 2 0.87 2.03 2715.67 55.01 1 in 368
District of Columbia 10743 64 0.60 791 568 0 0.00 5.29 15222.13 804.82 1 in 66
Idaho 9929 500 5.30 6058 101 1 1.00 1.02 5540.54 56.36 1 in 180
Puerto Rico 9137 275 3.10 2942 159 0 0.00 1.74 2860.95 49.79 1 in 350
South Dakota 7401 65 0.89 1243 107 6 5.94 1.45 8365.94 120.95 1 in 120
New Hampshire 5991 18 0.30 505 390 3 0.78 6.51 4406.08 286.83 1 in 227
North Dakota 4155 84 2.06 929 85 0 0.00 2.05 5452.31 111.54 1 in 183
West Virginia 3983 157 4.10 1515 95 0 0.00 2.39 2228.69 53.16 1 in 449
Maine 3499 13 0.37 586 111 0 0.00 3.17 2603.01 82.58 1 in 384
Wyoming 1790 21 1.19 617 21 0 0.00 1.17 3092.82 36.28 1 in 323
Montana 1593 127 8.66 927 28 3 12.00 1.76 1490.49 26.20 1 in 671
Alaska 1323 55 4.34 603 17 0 0.00 1.28 1808.50 23.24 1 in 553
Vermont 1277 5 0.39 133 56 0 0.00 4.39 2046.51 89.75 1 in 489
Hawaii 1158 28 2.48 369 19 0 0.00 1.64 817.87 13.42 1 in 1223

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4541574 400299 8.81 1282611 13743 1.07 233457.21
2 California 5175737 310885 6.01 2020035 140023 6.93 130990.78
3 Texas 2389789 244756 10.24 965875 139362 14.43 82418.22
4 Florida 2421627 244151 10.08 888756 154403 17.37 112750.57
5 New Jersey 1623158 174628 10.76 428815 6132 1.43 182742.99
6 Illinois 1912875 152899 7.99 600872 17429 2.90 150955.02
7 Arizona 669211 116892 17.47 276995 69982 25.26 87881.87
8 Georgia 1046348 111217 10.63 376042 49208 13.09 98550.09
9 Massachusetts 938616 111110 11.84 187809 4460 2.37 135062.32
10 Pennsylvania 898640 98482 10.96 261422 13283 5.08 70195.34
11 North Carolina 1150612 82032 7.13 438299 32247 7.36 109706.60
12 Michigan 1246805 75685 6.07 366877 8588 2.34 124844.58
13 Louisiana 905248 74636 8.24 314339 26121 8.31 194727.49
14 Maryland 621063 71910 11.58 167394 8362 5.00 102728.39
15 Virginia 768725 68931 8.97 256314 12138 4.74 90061.89
16 Ohio 959553 62856 6.55 343517 19125 5.57 82089.55
17 Tennessee 994575 59546 5.99 332886 25529 7.67 145550.95
18 South Carolina 475235 52419 11.03 186935 29811 15.95 92301.69
19 Alabama 492216 50508 10.26 160891 21506 13.37 100386.99
20 Indiana 550562 50300 9.14 157675 8554 5.43 81780.17
21 Connecticut 558209 47287 8.47 178331 1730 0.97 156567.76
22 Minnesota 725825 40767 5.62 250673 8736 3.49 128700.77
23 Washington 660330 39218 5.94 213431 11617 5.44 86715.60
24 Colorado 377140 36173 9.59 112694 6001 5.33 65490.07
25 Wisconsin 673510 34753 5.16 204605 10599 5.18 115674.99
26 Mississippi 330312 34622 10.48 91597 13981 15.26 110986.38
27 Iowa 362248 34172 9.43 115599 8898 7.70 114814.57
28 Utah 395974 28223 7.13 108616 11798 10.86 123511.91
29 Missouri 454825 27069 5.95 148541 9402 6.33 74106.78
30 Arkansas 365412 26803 7.34 130640 12172 9.32 121084.56
31 Nevada 335491 25908 7.72 101131 13384 13.23 108920.13
32 Nebraska 201014 20777 10.34 53168 3189 6.00 103915.00
33 Oklahoma 411074 19092 4.64 136496 9385 6.88 103886.03
34 Kentucky 432690 18672 4.32 121463 5218 4.30 96849.08
35 Kansas 217779 18303 8.40 70130 6282 8.96 74753.01
36 Rhode Island 166655 17312 10.39 -47934 975 -2.03 157316.53
37 New Mexico 395881 14549 3.68 115706 4289 3.71 188799.85
38 Delaware 132708 12652 9.53 42274 2041 4.83 136283.53
39 Oregon 286770 11454 3.99 92853 4882 5.26 67991.44
40 District of Columbia 120884 10743 8.89 47093 791 1.68 171284.69
41 Idaho 118078 9929 8.41 48533 6058 12.48 65889.35
43 South Dakota 88542 7401 8.36 17349 1243 7.16 100086.02
44 New Hampshire 131051 5991 4.57 27326 505 1.85 96381.51
45 North Dakota 119596 4155 3.47 26990 929 3.44 156937.36
46 West Virginia 201203 3983 1.98 55189 1515 2.75 112583.35
47 Maine 118406 3499 2.96 41245 586 1.42 88085.81
48 Wyoming 39867 1790 4.49 3393 617 18.18 68883.59
49 Montana 112178 1593 1.42 43756 927 2.12 104959.12
50 Alaska 141931 1323 0.93 58300 603 1.03 194015.41
51 Vermont 74098 1277 1.72 18211 133 0.73 118748.89
52 Hawaii 90595 1158 1.28 24851 369 1.48 63985.30

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 246600 8139 3.41 136985 55.55 99202 10116 223 2.25 4.10
Tamil Nadu 134226 3965 3.04 85915 64.01 46413 1898 69 3.77 1.41
Delhi 110921 1781 1.63 87692 79.06 19895 3334 34 1.03 3.01
Gujarat 41027 872 2.17 28685 69.92 10309 2033 10 0.49 4.96
Karnataka 36216 2798 8.37 14718 40.64 20879 615 70 12.84 1.70
Uttar Pradesh 35092 1392 4.13 22689 64.66 11490 913 24 2.70 2.60
Telangana 33402 1178 3.66 20919 62.63 12135 348 9 2.65 1.04
West Bengal 28453 1344 4.96 17959 63.12 9588 906 26 2.95 3.18
Andhra Pradesh 27235 1813 7.13 14393 52.85 12533 309 17 5.82 1.13
Rajasthan 23748 574 2.48 17869 75.24 5376 503 6 1.21 2.12
Haryana 20582 648 3.25 15394 74.79 4891 297 7 2.41 1.44
Madhya Pradesh 17201 544 3.27 12679 73.71 3878 644 6 0.94 3.74
Assam 16072 535 3.44 10427 64.88 5605 37 2 5.71 0.23
Bihar 15039 709 4.95 10991 73.08 3930 118 7 6.31 0.78
Odisha 12526 570 4.77 8360 66.74 4087 79 6 8.22 0.63
Jammu and Kashmir 10156 268 2.71 5895 58.04 4092 169 10 6.29 1.66
Punjab 7587 230 3.13 5040 66.43 2352 195 8 4.28 2.57
Kerala 7439 488 7.02 3963 53.27 3442 30 2 7.14 0.40
Chhattisgarh 3897 65 1.70 3070 78.78 810 17 0 0.00 0.44
Jharkhand 3663 145 4.12 2256 61.59 1383 24 1 4.35 0.66
Uttarakhand 3417 44 1.30 2718 79.54 623 46 0 0.00 1.35
State Unassigned 3416 -745 -17.90 0 0.00 3416 0 0 NaN 0.00
Goa 2368 117 5.20 1428 60.30 928 12 3 33.33 0.51
Tripura 1962 32 1.66 1375 70.08 571 2 1 100.00 0.10
Manipur 1593 11 0.70 843 52.92 750 0 0 NaN 0.00
Puducherry 1336 64 5.03 690 51.65 628 18 1 5.88 1.35
Himachal Pradesh 1182 11 0.94 895 75.72 264 10 0 0.00 0.85
Ladakh 1077 13 1.22 928 86.17 148 1 0 0.00 0.09
Nagaland 748 16 2.19 313 41.84 435 0 0 NaN 0.00
Chandigarh 549 13 2.43 413 75.23 128 8 1 14.29 1.46
Dadra and Nagar Haveli and Daman and Diu 482 12 2.55 237 49.17 240 1 0 0.00 0.21
Arunachal Pradesh 341 39 12.91 125 36.66 214 2 0 0.00 0.59
Meghalaya 262 76 40.86 45 17.18 215 2 0 0.00 0.76
Mizoram 227 1 0.44 150 66.08 77 0 0 NaN 0.00
Sikkim 160 26 19.40 80 50.00 67 0 0 NaN 0.00
Andaman and Nicobar Islands 156 0 0.00 92 58.97 64 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1126332 94905 135 0.14 8.43 190 27 8341 16736 17.63
Piemonte 444443 31485 10 0.03 7.08 193 9 1075 4110 13.05
Emilia-Romagna 540614 28822 53 0.18 5.33 96 10 1113 4269 14.81
Veneto 1048535 19369 11 0.06 1.85 14 3 394 2039 10.53
Toscana 366018 10316 2 0.02 2.82 9 2 330 1121 10.87
Liguria 160464 10025 15 0.15 6.25 25 1 264 1558 15.54
Lazio 362312 8275 23 0.28 2.28 197 13 901 844 10.20
Marche 147083 6799 1 0.01 4.62 4 0 168 987 14.52
P.A. Trento 131980 4879 3 0.06 3.70 1 0 27 405 8.30
Campania 299725 4762 7 0.15 1.59 44 0 237 432 9.07
Puglia 198088 4540 4 0.09 2.29 13 0 72 546 12.03
Friuli Venezia Giulia 209161 3333 1 0.03 1.59 2 0 78 345 10.35
Abruzzo 113388 3321 3 0.09 2.93 26 0 148 464 13.97
Sicilia 231767 3098 0 0.00 1.34 6 0 124 283 9.13
P.A. Bolzano 89711 2658 5 0.19 2.96 6 0 86 292 10.99
Umbria 104428 1448 1 0.07 1.39 4 0 8 80 5.52
Sardegna 91395 1372 1 0.07 1.50 3 0 10 134 9.77
Valle d’Aosta 19327 1196 0 0.00 6.19 4 0 5 146 12.21
Calabria 103582 1186 1 0.08 1.14 4 0 27 97 8.18
Molise 24295 445 0 0.00 1.83 0 0 15 23 5.17
Basilicata 41973 405 0 0.00 0.96 3 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56316 100 0.18 5612 3 0.05 9.97 6596.18 657.32 1 in 152
Ontario 38323 123 0.32 2760 10 0.36 7.20 2604.91 187.60 1 in 384
Alberta 8596 77 0.90 161 0 0.00 1.87 1947.82 36.48 1 in 513
British Columbia 3053 25 0.83 187 1 0.54 6.13 597.35 36.59 1 in 1674
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 815 2 0.25 15 0 0.00 1.84 689.70 12.69 1 in 1450
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 262 1 0.38 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 166 0 0.00 2 0 0.00 1.20 212.82 2.56 1 in 4699
Prince Edward Island 33 0 0.00 0 0 NaN 0.00 208.65 0.00 1 in 4793
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1647 8 0.49
Hong Kong 1365 7 0.51
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 721 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 244 1 0.41
Shanxi 199 0 0.00
Tianjin 199 3 1.51
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 162 2 1.23
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 9732.80 409.82 1 in 103
Brazil 8604.05 336.35 1 in 116
India 613.08 16.52 1 in 1631
Russia 4933.31 76.12 1 in 203
Peru 9936.15 357.48 1 in 101
Chile 17134.29 375.68 1 in 58
United Kingdom 4359.99 673.31 1 in 229
Mexico 2238.19 264.64 1 in 447
Spain 5441.66 608.72 1 in 184
Iran 3113.85 153.36 1 in 321
South Africa 4419.73 68.05 1 in 226
Pakistan 1250.51 26.01 1 in 800
Italy 4011.89 577.68 1 in 249
Saudi Arabia 6875.71 65.30 1 in 145
Turkey 2610.63 65.87 1 in 383
France 3105.16 447.93 1 in 322
Germany 2407.68 109.47 1 in 415
Bangladesh NA NA 1 in NA
Colombia 2730.24 101.59 1 in 366
Canada 2899.28 234.40 1 in 345

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 218403 23267 10.65
Los Angeles California 127439 3744 2.94
Cook Illinois 94605 4693 4.96
Maricopa Arizona 76328 1049 1.37
Miami-Dade Florida 58341 1118 1.92
Nassau New York 42232 2190 5.19
Harris Texas 41999 439 1.05
Suffolk New York 41911 1992 4.75
Westchester New York 35226 1433 4.07
Dallas Texas 30361 436 1.44
Philadelphia Pennsylvania 27341 1635 5.98
Broward Florida 26705 438 1.64
Riverside California 24765 537 2.17
Middlesex Massachusetts 24377 1908 7.83
Wayne Michigan 23811 2748 11.54
Orange California 22650 412 1.82
Clark Nevada 21449 473 2.21
Suffolk Massachusetts 20228 1016 5.02
Bergen New Jersey 19827 2023 10.20
Prince George’s Maryland 19510 703 3.60
Palm Beach Florida 19233 586 3.05
Hudson New Jersey 19056 1481 7.77
Essex New Jersey 18954 2061 10.87
San Diego California 18863 420 2.23
Bexar Texas 18602 166 0.89
San Bernardino California 18275 304 1.66
Hillsborough Florida 17662 186 1.05
Passaic New Jersey 17030 1218 7.15
Middlesex New Jersey 17005 1366 8.03
Fairfield Connecticut 16906 1380 8.16
Tarrant Texas 16700 259 1.55
Union New Jersey 16460 1341 8.15
Essex Massachusetts 16414 1136 6.92
Orange Florida 16148 78 0.48
Montgomery Maryland 15568 755 4.85
Fairfax Virginia 14356 499 3.48
Mecklenburg North Carolina 14157 158 1.12
Salt Lake Utah 14066 125 0.89
Travis Texas 13864 159 1.15
Rockland New York 13691 670 4.89
Milwaukee Wisconsin 13312 398 2.99
Providence Rhode Island 13144 0 0.00
Shelby Tennessee 13113 219 1.67
Hennepin Minnesota 13054 790 6.05
Davidson Tennessee 12935 142 1.10
Worcester Massachusetts 12603 958 7.60
Oakland Michigan 12568 1102 8.77
New Haven Connecticut 12532 1079 8.61
Marion Indiana 11920 692 5.81
Hartford Connecticut 11892 1385 11.65
Duval Florida 11772 74 0.63
King Washington 11568 633 5.47
Franklin Ohio 11433 443 3.87
Pima Arizona 11172 313 2.80
Orange New York 10820 484 4.47
Jefferson Louisiana 10812 490 4.53
District of Columbia District of Columbia 10743 568 5.29
Gwinnett Georgia 10741 178 1.66
Pinellas Florida 10293 223 2.17
Lake Illinois 10253 428 4.17
Fulton Georgia 10021 321 3.20
Ocean New Jersey 9781 995 10.17
DuPage Illinois 9571 483 5.05
Monmouth New Jersey 9404 832 8.85
Norfolk Massachusetts 9403 956 10.17
Puerto Rico 9137 159 1.74
Montgomery Pennsylvania 8790 826 9.40
Plymouth Massachusetts 8786 677 7.71
Cuyahoga Ohio 8786 393 4.47
El Paso Texas 8746 150 1.72
Baltimore Maryland 8581 495 5.77
Lee Florida 8574 179 2.09
Orleans Louisiana 8476 541 6.38
Bristol Massachusetts 8426 596 7.07
Baltimore City Maryland 8249 363 4.40
Kane Illinois 8028 281 3.50
Yuma Arizona 7994 128 1.60
DeKalb Georgia 7973 177 2.22
Yakima Washington 7934 185 2.33
Douglas Nebraska 7864 98 1.25
Mercer New Jersey 7773 597 7.68
Imperial California 7759 132 1.70
Denver Colorado 7759 394 5.08
Prince William Virginia 7742 156 2.01
Macomb Michigan 7739 924 11.94
Erie New York 7660 644 8.41
Camden New Jersey 7631 541 7.09
Fresno California 7627 87 1.14
Out of GA Georgia 7614 50 0.66
St. Louis Missouri 7586 595 7.84
Delaware Pennsylvania 7495 667 8.90
Alameda California 7485 147 1.96
Hidalgo Texas 7334 123 1.68
Polk Iowa 7196 182 2.53
Will Illinois 7171 324 4.52
Wake North Carolina 7065 61 0.86
Charleston South Carolina 6961 52 0.75
Hampden Massachusetts 6943 672 9.68
Morris New Jersey 6875 818 11.90
East Baton Rouge Louisiana 6747 277 4.11

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc